Correlation Between Nasdaq-100 Fund and Angel Oak
Can any of the company-specific risk be diversified away by investing in both Nasdaq-100 Fund and Angel Oak at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Nasdaq-100 Fund and Angel Oak into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq 100 Fund Class and Angel Oak Financial, you can compare the effects of market volatilities on Nasdaq-100 Fund and Angel Oak and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Nasdaq-100 Fund with a short position of Angel Oak. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq-100 Fund and Angel Oak.
Diversification Opportunities for Nasdaq-100 Fund and Angel Oak
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Nasdaq-100 and Angel is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq 100 Fund Class and Angel Oak Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Angel Oak Financial and Nasdaq-100 Fund is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Nasdaq 100 Fund Class are associated (or correlated) with Angel Oak. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Angel Oak Financial has no effect on the direction of Nasdaq-100 Fund i.e., Nasdaq-100 Fund and Angel Oak go up and down completely randomly.
Pair Corralation between Nasdaq-100 Fund and Angel Oak
Assuming the 90 days horizon Nasdaq 100 Fund Class is expected to under-perform the Angel Oak. In addition to that, Nasdaq-100 Fund is 5.81 times more volatile than Angel Oak Financial. It trades about -0.08 of its total potential returns per unit of risk. Angel Oak Financial is currently generating about 0.07 per unit of volatility. If you would invest 1,402 in Angel Oak Financial on December 29, 2024 and sell it today you would earn a total of 14.00 from holding Angel Oak Financial or generate 1.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nasdaq 100 Fund Class vs. Angel Oak Financial
Performance |
Timeline |
Nasdaq 100 Fund |
Angel Oak Financial |
Nasdaq-100 Fund and Angel Oak Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nasdaq-100 Fund and Angel Oak
The main advantage of trading using opposite Nasdaq-100 Fund and Angel Oak positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq-100 Fund position performs unexpectedly, Angel Oak can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Angel Oak will offset losses from the drop in Angel Oak's long position.Nasdaq-100 Fund vs. Nasdaq 100 Fund Class | Nasdaq-100 Fund vs. Nasdaq 100 Fund Class | Nasdaq-100 Fund vs. Nasdaq 100 2x Strategy | Nasdaq-100 Fund vs. Dow 2x Strategy |
Angel Oak vs. Gabelli Global Financial | Angel Oak vs. Mesirow Financial Small | Angel Oak vs. Icon Financial Fund | Angel Oak vs. Blackrock Financial Institutions |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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